Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Nuclear Theory

arXiv:nucl-th/9401020 (nucl-th)
[Submitted on 24 Jan 1994]

Title:Power Moments and Scaling Properties of Nuclear Emulsion Data

Authors:S.J.Lee, A.Z. Mekjian
View PDF
Abstract: Various features of the charge yield in heavy ion collisions are studied. Considered here are the nuclear emulsion data of $^{84}$Kr, $^{131}$Xe, $^{197}$Au, $^{238}$U in the energy range of 1 GeV/A. Mean charge yields and multiplicity distribution of these data indicate that the nuclear fragmentation at this energy is a multiprocess phenomena. Power moments of the charge distribution exhibit a scale invariance. While small nuclei (Kr and Xe) show a nuclear size dependence, large nuclei (Au and U) exhibit scale independence in their charge distribution.
Comments: 19 pages (revtex 3.0), 11 ps fig. files on request, RU9411
Subjects: Nuclear Theory (nucl-th); High Energy Physics - Phenomenology (hep-ph)
Cite as: arXiv:nucl-th/9401020
  (or arXiv:nucl-th/9401020v1 for this version)
  https://doi.org/10.48550/arXiv.nucl-th/9401020
Journal reference: Phys.Rev.C50:3025-3032,1994
Related DOI: https://doi.org/10.1103/PhysRevC.50.3025

Submission history

From: Elaine Remillard [view email]
[v1] Mon, 24 Jan 1994 20:43:41 UTC (10 KB)
Full-text links:

Access Paper:

view license
Current browse context:
nucl-th
< prev   |   next >
new | recent | 1994-01

References & Citations

export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)